
| Course Code | : YBS301 |
| Course Type | : Required |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 1 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
This course provides information about the application areas of operations research by presenting many different mathematical model examples. It also includes the stages of coding, solving and analyzing each mathematical model created, including real-life problems, in the CPLEX optimization program.
Operations research involves expressing real-life problems with mathematical models and finding the best solution using numerical methods. In other words, in operations research, the problem is defined, modeled and solved using a solver and the results are analyzed. While the definition and modeling of the problem within operations research belongs to the user, the solution and analysis phase can be easily done even in large-sized problems, thanks to the developed software. For this reason, the two main points that are difficult are to establish the correct mathematical model for the defined problems and to solve the established model by transferring it to the software to be used. Because it is not possible to achieve meaningful results unless a real-life problem is modeled correctly. This course has been basically defined to eliminate these two deficiencies. Modeling is not a concept with certain rules, but a skill that can be acquired through experience with different examples. Therefore, in this course, many different problem examples and corresponding mathematical models will be included. In addition, information will be given about the problems encountered in real life and deterministic models will be developed to solve these problems. Each model will be coded with the CPLEX optimization program, which has a better performance and a much more useful user interface among both commercial and open source solvers that are widely used today, and the optimum solutions obtained will be analyzed. Thus, it is aimed that students can improve their skills in both establishing mathematical models and using CPLEX. In addition, by establishing many different mathematical models within the scope of the course, students will be able to develop modeling problems themselves and design modeling applications.
| Assoc. Prof. Pınar Zarif TAN |
| 1. | Can define problems they may encounter in real life as an optimization problem. |
| 2. | Can express many real-life problems in the production and service sectors as mathematical models. |
| 3. | Recognizes the application areas of the optimization concept. |
| 4. | Recognizes optimization software and can code mathematical models. |
| 5. | Codes the mathematical models he/she has developed in a solver, solves them and analyzes the results. |
| 1. | Winston, Wayne L., 2003, ISBN: 9780534380588, 4. Baskı. |
| 2. | Tapkan, Pınar Zarif, 2022, ISBN: 9786254338755, 2. Baskı |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 13 | 2 | 3 | 65 |
| Assignment | 13 | 2 | 0 | 26 |
| Individual Work | 13 | 2 | 0 | 26 |
| Quiz | 2 | 4 | 1 | 10 |
| Midterm Examination | 1 | 9 | 1 | 10 |
| Final Examination | 1 | 12 | 1 | 13 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 3 | 3 | 3 | 3 | 2 | 4 | 3 | 4 | 4 | 1 | 2 | 1 | 4 | 3 | 2 |
OÇ-2 | 3 | 3 | 3 | 3 | 2 | 4 | 3 | 3 | 4 | 1 | 2 | 1 | 4 | 3 | 2 |
OÇ-3 | 3 | 3 | 3 | 3 | 2 | 4 | 3 | 4 | 4 | 1 | 2 | 1 | 4 | 3 | 2 |
OÇ-4 | 2 | 4 | 3 | 3 | 2 | 3 | 3 | 3 | 4 | 1 | 3 | 1 | 4 | 3 | 2 |
OÇ-5 | 2 | 4 | 3 | 3 | 2 | 3 | 4 | 3 | 4 | 1 | 2 | 1 | 4 | 3 | 2 |